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    Application of the Restoring Force Method for Identification of Lumbar Spine Flexion Extension Motion Under Flexion Extension Moment

    Source: Journal of Biomechanical Engineering:;2014:;volume( 136 ):;issue: 004::page 44501
    Author:
    Borkowski, Sean L.
    ,
    Ebramzadeh, Edward
    ,
    Sangiorgio, Sophia N.
    ,
    Masri, Sami F.
    DOI: 10.1115/1.4026893
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The restoring force method (RFM), a nonparametric identification technique established in applied mechanics, was used to maximize the information obtained from momentrotation hysteresis curves under pure moment flexionextension testing of human lumbar spines. Data from a previous study in which functional spine units were tested intact, following simulated disk injury, and following implantation with an interspinous process spacer device were used. The RFM was used to estimate a surface map to characterize the dependence of the flexionextension rotation on applied moment and the resulting axial displacement. This described each spine response as a compact, reducedorder model of the complex underlying nonlinear biomechanical characteristics of the tested specimens. The RFM was applied to two datasets, and successfully estimated the flexionextension rotation, with error ranging from 3 to 23%. First, one specimen, tested in the intact, injured, and implanted conditions, was analyzed to assess the differences between the three specimen conditions. Second, intact specimens (N = 12) were analyzed to determine the specimen variability under equivalent testing conditions. Due to the complexity and nonlinearity of the hysteretic responses, the mathematical fit of each surface was defined in terms of 16 coefficients, or a bicubic fit, to minimize the identified (estimated) surface fit error. The results of the first analysis indicated large differences in the coefficients for each of the three testing conditions. For example, the coefficient corresponding to the linear stiffness (a01) had varied magnitude among the three conditions. In the second analysis of the 12 intact specimens, there was a large variability in the 12 unique sets of coefficients. Four coefficients, including two interaction terms comprised of both axial displacement and moment, were different from zero (p < 0.05), and provided necessary quantitative information to describe the hysteresis in three dimensions. The results suggest that further work in this area has the potential to supplement typical biomechanical parameters, such as range of motion, stiffness, and neutral zone, and provide a useful tool in diagnostic applications for the reliable detection and quantification of abnormal conditions of the spine.
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      Application of the Restoring Force Method for Identification of Lumbar Spine Flexion Extension Motion Under Flexion Extension Moment

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    contributor authorBorkowski, Sean L.
    contributor authorEbramzadeh, Edward
    contributor authorSangiorgio, Sophia N.
    contributor authorMasri, Sami F.
    date accessioned2017-05-09T01:05:24Z
    date available2017-05-09T01:05:24Z
    date issued2014
    identifier issn0148-0731
    identifier otherbio_136_04_044501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/153995
    description abstractThe restoring force method (RFM), a nonparametric identification technique established in applied mechanics, was used to maximize the information obtained from momentrotation hysteresis curves under pure moment flexionextension testing of human lumbar spines. Data from a previous study in which functional spine units were tested intact, following simulated disk injury, and following implantation with an interspinous process spacer device were used. The RFM was used to estimate a surface map to characterize the dependence of the flexionextension rotation on applied moment and the resulting axial displacement. This described each spine response as a compact, reducedorder model of the complex underlying nonlinear biomechanical characteristics of the tested specimens. The RFM was applied to two datasets, and successfully estimated the flexionextension rotation, with error ranging from 3 to 23%. First, one specimen, tested in the intact, injured, and implanted conditions, was analyzed to assess the differences between the three specimen conditions. Second, intact specimens (N = 12) were analyzed to determine the specimen variability under equivalent testing conditions. Due to the complexity and nonlinearity of the hysteretic responses, the mathematical fit of each surface was defined in terms of 16 coefficients, or a bicubic fit, to minimize the identified (estimated) surface fit error. The results of the first analysis indicated large differences in the coefficients for each of the three testing conditions. For example, the coefficient corresponding to the linear stiffness (a01) had varied magnitude among the three conditions. In the second analysis of the 12 intact specimens, there was a large variability in the 12 unique sets of coefficients. Four coefficients, including two interaction terms comprised of both axial displacement and moment, were different from zero (p < 0.05), and provided necessary quantitative information to describe the hysteresis in three dimensions. The results suggest that further work in this area has the potential to supplement typical biomechanical parameters, such as range of motion, stiffness, and neutral zone, and provide a useful tool in diagnostic applications for the reliable detection and quantification of abnormal conditions of the spine.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleApplication of the Restoring Force Method for Identification of Lumbar Spine Flexion Extension Motion Under Flexion Extension Moment
    typeJournal Paper
    journal volume136
    journal issue4
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4026893
    journal fristpage44501
    journal lastpage44501
    identifier eissn1528-8951
    treeJournal of Biomechanical Engineering:;2014:;volume( 136 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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